Abstract

Detection of wavelets in noisy signals is important for many biomedical as well as other applications. An adaptive wavelet detection system is described, based on the cross correlation method. The method is restricted to fnite-length, nonoverlapping wavelets. A random reference correlator (RRC) circuit is used to estimate the correlation between signal and template, eliminating the need for expensive hardware or time-consuming software correlation calculations.

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